Open eGovernment program, DSV, Stockholm University
2025-06-04
To provide a high-level overview of:
is a field of artificial intelligence (AI) that enables computers to learn and improve from experience without being explicitly programmed on how or what to learn.
“Highly Accurate, But Still Discriminatory” 5
“Assessing risk, automating racism” 6
“[T]wo contrasting research paradigms: one rooted in computer science (CS), the origin discipline of fair AI, and another one that is more socially-oriented and interdisciplinary (SOI)” 7
“Equipping practitioners to recognize and address algorithmic bias and fairness debt” and “Improving bias mitigation and ethical design to address fairness debt” 8
‘Super-diversity’ is a term intended to underline a level and kind of complexity surpassing anything previously experienced in a particular society due to global migration patterns. This results in wholly new and complex social formations marked by a dynamic interplay of variables. These variables co-condition integration outcomes. 10
Nowadays however, an increasing number of cities and communities can be characterized as internationalized and super-diverse with no monolithic mainstream society but a multitude of diverse groups … [t]his raises the question of not only who integrates but also “into what?” 11
How can super-diversity be integrated into fair AI system development to better account for the heterogeneous nature of human populations?
To provide a high-level overview of:
Hermeneutic framework for the literature review process from Boell and Cecez-Kecmanovic (2014)
Benefits of this framework:
Limitation:
Thematic analysis process sample
To provide a high-level overview of:
The main contribution of this thesis is that it shed light on a topical, compelling problem space.
Future research:
William H. Janeway (2012)
Stages of ML model development from Kheya et al. (2024)
Prototypical Fair AI System from Buyl and De Bie (2024)
Taxonomy of mitigation strategies by Kheya et al. (2024)
(Kochling et al., 2020)
(Benjamin, 2019)
(Fahimi et al., 2024)
(de Souza Santos, 2024)
Kochling et al., 2020
Max Planck Institute for the Study of Religious and Ethnic Diversity
Reimagining “Integration” in the Light of the New Forms of Mobility